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Description

Threat detection entails a thorough examination of each individual network packet along with its contained data, featuring elements such as network protocol identification and verification, which allows for the identification of both obscure and concealed protocols. It incorporates machine learning techniques that provide a proactive assessment of traffic risk through scoring systems. Additionally, the detection of network steganography helps uncover hidden traffic within the network, including potential data breaches, espionage activities, and botnet communications. Utilizing proprietary algorithms for steganography detection serves as an efficient means of revealing various information concealment strategies. Furthermore, a unique signature database containing an extensive array of recognized network steganography techniques enhances detection capabilities. Forensic analysis is employed to effectively evaluate the ratio of security incidents relative to the traffic source. Facilitating the extraction of high-risk network traffic aids in concentrating analysis on specific threat levels, while storing processed traffic metadata in an extended format accelerates the trend analysis process. This multifaceted approach ensures a comprehensive understanding of network security challenges and enhances the ability to respond to emerging threats.

Description

Darktrace / NETWORK is an advanced AI-driven solution designed for network detection and response, aiming to thwart, identify, scrutinize, and manage both recognized and novel threats in contemporary environments. Utilizing its Self-Learning AI, the system operates directly on an organization’s data, adapting to the typical behavior of each device, user, connection, and attack vector, thereby detecting anomalies without relying on predefined signatures, past attack data, or generalized models. This solution offers comprehensive visibility across various infrastructures, including on-premises, virtual, cloud, and hybrid networks, as well as remote endpoints, operational technology (OT) devices, zero-trust network access (ZTNA), and traffic in both encrypted and decrypted forms. Moreover, it continuously refines its detection capabilities to enhance precision and minimize alert fatigue without the need for manual rule updates. The Cyber AI Analyst conducts thorough investigations at scale, forms theories, derives conclusions, ranks incidents based on potential business repercussions, and links occurrences across network, endpoint, cloud, identity, OT, email, and remote systems, ensuring a robust defense against cyber threats. Thus, organizations can benefit from a proactive security posture that evolves in tandem with emerging challenges.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Darktrace No 

Integrations

Darktrace Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cryptomage

Founded

2015

Country

Poland

Website

cryptomage.io/cybereye

Vendor Details

Company Name

Darktrace

Founded

2013

Country

United Kingdom

Website

www.darktrace.com/products/network

Product Features

Cybersecurity

AI / Machine Learning No 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

Product Features

Cloud Security

Antivirus No 
Application Security No 
Behavioral Analytics No 
Encryption No 
Endpoint Management No 
Incident Management No 
Intrusion Detection System No 
Threat Intelligence No 
Two-Factor Authentication No 
Vulnerability Management No 

Cloud Workload Protection

Anomaly Detection No 
Asset Discovery No 
Cloud Gap Analysis No 
Cloud Registry No 
Data Loss Prevention (DLP) No 
Data Security No 
Governance No 
Logging & Reporting No 
Machine Learning No 
Security Audit No 
Workload Diversity No 

Incident Response

Attack Behavior Analytics No 
Automated Remediation No 
Compliance Reporting No 
Forensic Data Retention No 
Incident Alerting No 
Incident Database No 
Incident Logs No 
Incident Reporting No 
Privacy Breach Reporting No 
SIEM Data Ingestion / Correlation No 
SLA Tracking / Management No 
Security Orchestration No 
Threat Intelligence No 
Timeline Analysis No 
Workflow Automation No 
Workflow Management No 

Network Monitoring

Bandwidth Monitoring No 
Baseline Manager No 
Diagnostic Tools No 
IP Address Monitoring No 
Internet Usage Monitoring No 
Real Time Analytics No 
Resource Management No 
SLA Monitoring No 
Server Monitoring No 
Uptime Monitoring No 
Web Traffic Reporting No 

Network Traffic Analysis (NTA)

Anomalous Behavior Detection No 
High Bandwidth Usage Monitoring No 
Historical Behavior Data No 
Identify High Network Traffic Sources No 
Network Transaction Visibility No 
Stream Data to IDR or Data Lake No 
Traffic Decryption No 

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